Evidence map›Paper›PMID 39251951›Full record

ArticleBMC pulmonary medicine2024

The relationship between lung CT features and serum cryptococcal antigen titers in localized pulmonary cryptococcosis patients.

Chunmei Dai, Dongyu Bai, Chunbei Lin, Ke-Yi Li, Wenliang Zhu, Juan Lin, Fang Lu, Qiujuan Chen, Wen Luo, Bo Zhu and 1 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Chunmei Dai *Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Dongyu Bai *Department of Pathology, the First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China.
Chunbei Lin *Department of Internal Medicine, the First Hospital of Zhangzhou China Merchants Economic and Technological Development Zone, Zhangzhou, Fujian, China.
Ke-Yi LiDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Wenliang ZhuDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Juan LinDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Fang LuDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Qiujuan ChenDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Wen LuoDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China.
Bo ZhuXiamen Key Laboratory of Genetic Testing, Department of Laboratory Medicine, The First Affiliated Hospital of Xiamen University, No. 55 Zhenhai Road, Xiamen, 361003, China. bz-3@163.com.
Yihua LinDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, China. lyh7@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the associations of computed tomography (CT) image features with the serum cryptococcal antigen (CrAg) titers measured by the lateral flow assay (LFA) in localized pulmonary cryptococcosis patients.

methodsA retrospective analysis of patients with pathologically confirmed pulmonary cryptococcosis admitted to the First Affiliated Hospital of Xiamen University from January 2016 to December 2022 was performed. Clinical data, CT results, serum CrAg-LFA test results, and follow-up data were collected and analyzed.

resultsA total of 107 patients with localized pulmonary cryptococcosis were included, of which 31 had a single lesion in chest CT and the other 76 had multiple lesions. The positivity rate was (94.74% vs 64.52%) and titers of serum CrAg-LFA (1.77 ± 0.87 vs 0.91 ± 0.98) in the multiple lesion group were higher than those in the single lesion group, respectively. Multivariate linear regression analysis showed that the serum CrAg titers were positively associated with the number of lesions (β, 0.08; 95% CI, 0.05 to 0.12) and the lesion size (β, 0.40; 95% CI, 0.31 to 0.50) after adjusting other covariates. The serum CrAg-LFA titers of 60 pulmonary cryptococcosis patients showed a decreasing trend with the reduction in pulmonary lesion size after effective therapy.

conclusionIn pulmonary cryptococcosis patients, the number and size of lung lesions are positively correlated with the titers of the serum CrAg-LFA test. The CrAg-LFA test could be a useful tool for the diagnosis, severity assessment, and therapeutic monitoring of localized pulmonary cryptococcosis patients.

Indexed as

Antigens, FungalCryptococcosisLung Diseases, FungalTomography, X-Ray ComputedAdultAgedFemaleHumansLungMaleMiddle AgedRetrospective StudiesAntigens, FungalComputed tomography (CT)Cryptococcal antigen (CrAg)Lateral flow assay (LFA)Pulmonary cryptococcosis

Identifiers

PMID39251951
PMCPMC11386080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.